지능정보연구 (Journal of Intelligence and Information Systems)

  • 제17권4호
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  • Pages.1-17
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  • 2011
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  • 2288-4866(pISSN)
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  • 2288-4882(eISSN)
한국지능정보시스템학회 (Korea Intelligent Information System Society)
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Analytic Network Process에 기초한 제품가족 디자인

Product Family Design based on Analytic Network Process

  • 김태운 (경성대학교 산업경영공학과)
  • Kim, Tai-Oun (Dept. of Industrial and Management Engineering Kyungsung University)
  • 투고 : 2011.09.29
  • 심사 : 2011.12.25
  • 발행 : 2011.12.31
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초록

오늘날 글로벌한 경쟁에서 고객의 만족도를 유지하고 생산성과 효율을 높이기 위해서 대량맞춤(mass customization)이 많은 선도기업에서 채택되고 있다. 대량맞춤은 제품가족과 제품 플랫폼에 근거하여 기업으로 하여금 새로운 제품을 유연하고 효율적이며 고객 요구에 신속히 대응하는 것을 용이하게 한다. 따라서 제품 플랫폼에 기반한 제품가족 전략이 대량맞춤을 실현화하는데 적절한 방법이다. 제품가족이란 다양한 시장의 요구를 충족하기 위해서 공통의 특성, 구성부품, 서브 시스템을 공유하는 일련의 유사한 제품군으로 정의된다. 이 연구의 목표는 제품가족 설계 전략을 이용하여 고객의 요구를 충족시키는 제품의 구성부품간의 우선순위를 찾아내고자 하는 것이다. 신 제품 개발을 위한 의사결정 과정은 피드백을 가지는 다 변량 의사결정 모형을 필요로 한다. 이를 위해서 분석적 네트워크 과정(analytic network process) 방법을 이용하여 의사결정 모델과 절차를 수립하였다. 구현을 위해서 제품가족 모델에 적합한 소형 PC인 넷북 제품을 선정하고, 각 제품가족에 대한 구성부품에 대하여 제안된 방법에 따라서 우선순위를 도출하였다. 구현결과를 QFD 모델을 이용하여 고객요구사항과 구성부품간의 관계를 분석하고 평가하였다.

In order to maintain customer satisfaction and to remain productive and efficient in today's global competition, mass customization is adopted in many leading companies. Mass customization through product family and product platform enables companies to develop new products with flexibility, efficiency and quick responsiveness. Thus, product family strategy based on product platform is well suited to realize the mass customization. Product family is defined as a group of related products that share common features, components, and subsystems; and satisfy a variety of market niches. The objective is to propose a product family design strategy that provides priority weights among product components by satisfying customer requirements. The decision making process for a new product development requires a multiple criteria decision making technique with feedback. An analytical network process is adopted for the decision making modeling and procedure. For the implementation, a netbook product known as a small PC which is appropriate for the product family model is adopted. According to the proposed architecture, the priority weight of each component for each product family is derived. The relationship between the customer requirement and product component is analyzed and evaluated using QFD model.

키워드

참고문헌

  1. Chang, Y., "Product value evaluation models based on itemset association chain", Journal of Intelligence and Information Systems, Vol.16, No.2(2010), 1-17.
  2. Cho, Y. and J. Bang, "Social network analysis for new product recommendation", Journal of Intelligence and Information Systems, Vol.15, No.4(2009), 177-193.
  3. Gencer, C. and D. Gurpinar, "Analytic network process in supplier selection : A case study in an electric firm", Applied Mathematical Modeling, Vol.31(2007), 2475-2486. https://doi.org/10.1016/j.apm.2006.10.002
  4. Karssak, E., S. Sozer, and S. Alptekin, "Product planning in quality function deployment using a combined analytic network process and goal programming approach", Computers and Industrial Engineering, Vol.44(2002), 171-190.
  5. Kim, H., J. Kim, and Q. Y. Chen, "A network approach to derive product relations and anayze topological characteristics", Journal of Intelligence and Information Systems, Vol.15, No.4(2009), 155-176.
  6. Kim, K. and D. Kim, "Research Issues in Robust QFD", Industrial Engineering and Management Systems, Vol.7, No.2(2008), 93-100.
  7. Kim, T., "Product variety modeling based on formal concept analysis", Industrial Engineering and Management Systems, Vol.9, No.1 (2010), 1-9.
  8. Kuang, J. and P. Jiang, "Product platform design for a product family based on Kansei engineering", Journal of Engineering Design, Vol.20, No.6(2009), 589-607. https://doi.org/10.1080/09544820802132410
  9. Lee, H., C. Kim, and Y. Park, "Evaluation and management of new service concepts : An ANP-based portfolio approach", Computers and Industrial Engineering, Vol.58, No.4 (2010), 535-543. https://doi.org/10.1016/j.cie.2009.11.016
  10. Lee, J. W. and S. H. Kim, "Using analytic network process and goal programming for interdependent information system project selection", Computers and Operations Research, Vol.27(2000), 367-382. https://doi.org/10.1016/S0305-0548(99)00057-X
  11. Liu, E. and S.-W. Hsiao, "ANP-GP approach for product variety design", Int. J. Advanced Manufacturing Technology, Vol.29(2006), 216-225. https://doi.org/10.1007/s00170-005-2506-3
  12. Luo, X. G., C. K. Kwong, and J. F. Tang, "Determining optimal levels of engineering characteristics in quality function deployment under multi-segment market", Computers and Industrial Engineering, Vol.59, No.1(2010), 126-135. https://doi.org/10.1016/j.cie.2010.03.009
  13. Martin, M. V. and K. Ishii, "Design for variety : developing standardized and modularized product platform architectures", Research Engineering Design, Vol.13(2002), 213- 235. https://doi.org/10.1007/s00163-002-0020-2
  14. Park, T. and K. Kim, "Determination of an optimal set of design requirements using house of quality", Journal of Operations Management, Vol.16(1998), 569-581. https://doi.org/10.1016/S0272-6963(97)00029-6
  15. Saaty, T. L., "Fundamentals of the analytic network process", ISAHP 1999, Kobe, Japan, (1999), 1-14.
  16. Saaty, T. L., Theory and Application of the Analytic Network Process, RWS publications, 2005.
  17. Saaty, T. L. and M. Takizawa, "Dependence and independence : from linear hierarchies to nonlinear networks", ISAHP European Journal of Operational Research, Vol.26 (1986), 229-237. https://doi.org/10.1016/0377-2217(86)90184-0
  18. Simpson, T. W., R. A. Maier, and F. Mistree, "Product Platform Design : method and application", Research Eng Design, Vol.13 (2001), 2-22. https://doi.org/10.1007/s001630100002
  19. Simpson, T. W., Z. Siddique, and J. Jiao Eds., Product Platform and Product Family Design : Methods and Applications, Springer, New York, (2005), 1-15.